Million Wesenu Demissie
Department of Statistics,
College of Computing and Informatics, Haramaya University, Dire Dawa, Ethiopia
*Corresponding author: Million Wesenu
Demissie, Department of Statistics, College of Computing and Informatics,
Haramaya University, Dire Dawa, Ethiopia, E-mail: millionwesu@gmail.com
Citation: Million Wesenu
Demissie, (2020) Comparison of Count Models and associated risk factors
of Neonatal Mortality in Ethiopia. Clin Biostat Biometr. 1(1);1-9
Copyright: © 2020, Million WD,
This is an open-access article distributed under the terms of the Creative
Commons Attribution 4.0 International License, which permits unrestricted use,
distribution and reproduction in any medium, provided the original author and
source are credited.
ABSTRACT
The Duration from 0- 28 day
of life is a crucial time for survival of any child. Reducing neonatal
mortality rate is a serious problem in many low and middle-income countries
including Ethiopia. The main objective of this investigation was to find out the
associated risk factors for number of neonatal mortality per women and select
models that best fit of the neonate dataset. Recorded survey data of Ethiopian
Demographic health survey in 2016 were obtained for a retrospective of 9958
women aged 15-49 years and considered in this investigation. Count models of
Standard Poisson, zero-inflated Poisson , Negative binomial Poisson and
zero-inflated negative binomial regression were used to distinguish the
potential risk factors and model comparison have been done using Bayesian
Information Criteria (BIC) and Akaike Information Criteria (AIC). Based on
this, zero-inflated negative binomial regression model had minimum value of AIC
and BIC when compared with other models and best fit for the neonatal mortality
dataset. From results of zero-inflated negative binomial regression model
parental Residence, Geographical-Region, education level of mother, Religion,
mother Age at first time of birth, Source of drinking water, Antenatal
care visits, Husband/partner’s education level, postnatal care visit and Toilet
facility were found to be statistically significant factors of neonatal
mortality per mother. It is therefore recommended that women should be
attending antenatal care and postnatal care visit during pregnancy and after
birth, respectively in addition to improve level of education for the better
survival neonates in the first 28th day
of life.